The COVID-19 pandemic and related restrictions forced many to work, learn, and socialize from home over the internet. There appears to be consensus that internet infrastructure in the developed world handled the resulting traffic surge well. In this paper, we study network measurement data collected by the Federal Communications Commission's Measuring Broadband America program before and during the pandemic in the United States (US). We analyze the data to understand the impact of lockdown orders on the performance of fixed broadband internet infrastructure across the US, and also attempt to correlate internet usage patterns with the changing behavior of users during lockdown. We found the key metrics such as change in data usage to be generally consistent with the literature. Through additional analysis, we found differences between metro and rural areas, changes in weekday, weekend, and hourly internet usage patterns, and indications of network congestion for some users.
翻译:COVID-19大流行及相关限制迫使许多人通过互联网在家里工作、学习和社交。 似乎大家一致认为发达世界的互联网基础设施能很好地应对由此造成的流量激增。 在本文中,我们研究了联邦通信委员会“衡量宽带美国”方案在美国疫情之前和期间收集的网络测量数据。 我们分析了数据,以了解封锁订单对美国各地固定宽带互联网基础设施运行的影响,并试图将互联网使用模式与用户在封锁期间不断变化的行为联系起来。 我们发现数据使用变化等关键指标与文献基本一致。 通过进一步分析,我们发现地铁和农村地区之间的差异、周日、周末和小时互联网使用模式的变化,以及一些用户网络拥堵的迹象。